November 27, 2024
Hojat Ghimatgar

Hojat Ghimatgar

Academic Rank: Assistant professor
Address:
Degree: Ph.D in Electrical Engineering-Communication System
Phone: 09394959842
Faculty: Faculty of Intelligent Systems and Data Science

Research

Title Negative cumulative extropy of uncertain variables with applications
Type Article
Keywords
Chance theory ; extropy measure; uncertain random variable; negative cumulative extropy ; pattern recognition
Journal COMMUNICATIONS IN STATISTICS-THEORY AND METHODS
DOI https://doi.org/10.1080/03610926.2024.2385589
Researchers Saeid Tahmasebi (First researcher) , Hojat Ghimatgar (Second researcher) , Hamed Ahmadzade (Third researcher)

Abstract

Recently, a measure of uncertainty termed by negative cumulative extropy (NCEX) is proposed by Tahmasebi and Toomaj (2022). It is a flexible extension of extropy measure which was proposed by Lad, Sanfilippo, and Agro (2015). To measure the uncertainty of uncertain variables, in this article, we propose the concept of NCEX through uncertainty distributions. Some properties of NCEX are derived, and some practical examples of uncertain variables are given. Several basic theorems are proposed. A formula of cross -extropy is defined via inverse uncertainty distributions. We also delve into a pattern recognition problem to highlight the importance of cross-extropy. Finally, applications to portfolio selection and signal processing are presented.